Scipediacontent: Scipediacontent moved page Draft Content 569486496 to Jiang 2018a

2021-01-21T14:08:28Z

Scipediacontent moved page Draft Content 569486496 to Jiang 2018a

Scipediacontent: Created page with " == Abstract == In light of the emergence of big data, I have advocated and argued for a paradigm shift from Tobler's law to scaling law, from Euclidean geometry to fractal g..."

2021-01-21T14:08:24Z

Created page with " == Abstract == In light of the emergence of big data, I have advocated and argued for a paradigm shift from Tobler's law to scaling law, from Euclidean geometry to fractal g..."

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== Abstract ==

In light of the emergence of big data, I have advocated and argued for a paradigm shift from Tobler's law to scaling law, from Euclidean geometry to fractal geometry, from Gaussian statistics to Paretian statistics, and - more importantly - from Descartes' mechanistic thinking to Alexander's organic thinking. Fractal geometry falls under the third definition of fractal - that is, a set or pattern is fractal if the scaling of far more small things than large ones recurs multiple times (Jiang and Yin 2014) - rather than under the second definition of fractal, which requires a power law between scales and details (Mandelbrot 1982). The new fractal geometry is more towards living geometry that "follows the rules, constraints, and contingent conditions that are, inevitably, encountered in the real world" (Alexander et al. 2012, p. 395), not only for understanding complexity, but also for creating complex or living structure (Alexander 2002-2005). This editorial attempts to clarify why the paradigm shift is essential and to elaborate on several concepts, including spatial heterogeneity (scaling law), scale (or the fourth meaning of scale), data character (in contrast to data quality), and sustainable transport in the big data era.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_569486496-beopen679-7844-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://arxiv.org/abs/1805.00819 http://arxiv.org/abs/1805.00819] under the license https://creativecommons.org/licenses/by

* [http://arxiv.org/pdf/1805.00819 http://arxiv.org/pdf/1805.00819]

* [http://dx.doi.org/10.3390/ijgi7050167 http://dx.doi.org/10.3390/ijgi7050167]

* [https://www.mdpi.com/2220-9964/7/5/167/pdf https://www.mdpi.com/2220-9964/7/5/167/pdf] under the license https://creativecommons.org/licenses/by/4.0

* [http://link.springer.com/content/pdf/10.1007/978-3-030-02305-8_88 http://link.springer.com/content/pdf/10.1007/978-3-030-02305-8_88],
: [http://dx.doi.org/10.1007/978-3-030-02305-8_88 http://dx.doi.org/10.1007/978-3-030-02305-8_88] under the license cc-by

* [http://www.diva-portal.org/smash/record.jsf?pid=diva2:1275950 http://www.diva-portal.org/smash/record.jsf?pid=diva2:1275950],
: [https://academic.microsoft.com/#/detail/2965085203 https://academic.microsoft.com/#/detail/2965085203] under the license http://www.springer.com/tdm

* [http://www.mdpi.com/2220-9964/7/5/167/pdf http://www.mdpi.com/2220-9964/7/5/167/pdf],
: [http://dx.doi.org/10.3390/ijgi7050167 http://dx.doi.org/10.3390/ijgi7050167]

* [https://dblp.uni-trier.de/db/journals/corr/corr1805.html#abs-1805-00819 https://dblp.uni-trier.de/db/journals/corr/corr1805.html#abs-1805-00819],
: [https://www.mdpi.com/2220-9964/7/5/167 https://www.mdpi.com/2220-9964/7/5/167],
: [https://arxiv.org/abs/1805.00819 https://arxiv.org/abs/1805.00819],
: [https://link.springer.com/chapter/10.1007%2F978-3-030-02305-8_88 https://link.springer.com/chapter/10.1007%2F978-3-030-02305-8_88],
: [http://www.diva-portal.org/smash/record.jsf?pid=diva2:1213656 http://www.diva-portal.org/smash/record.jsf?pid=diva2:1213656],
: [https://ui.adsabs.harvard.edu/abs/2018IJGI....7..167J/abstract https://ui.adsabs.harvard.edu/abs/2018IJGI....7..167J/abstract],
: [https://arxiv.org/pdf/1805.00819 https://arxiv.org/pdf/1805.00819],
: [https://doi.org/10.3390/ijgi7050167 https://doi.org/10.3390/ijgi7050167],
: [https://au.arxiv.org/abs/1805.00819?context=physics https://au.arxiv.org/abs/1805.00819?context=physics],
: [https://export.arxiv.org/abs/1805.00819 https://export.arxiv.org/abs/1805.00819],
: [https://fr.arxiv.org/abs/1805.00819 https://fr.arxiv.org/abs/1805.00819],
: [https://academic.microsoft.com/#/detail/2799179341 https://academic.microsoft.com/#/detail/2799179341] under the license https://creativecommons.org/licenses/by/4.0/

DOIS: 10.3390/ijgi7050167 10.1007/978-3-030-02305-8_88

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Scipediacontent: Scipediacontent moved page Draft Content 569486496 to Jiang 2018a

Scipediacontent: Created page with " == Abstract == In light of the emergence of big data, I have advocated and argued for a paradigm shift from Tobler's law to scaling law, from Euclidean geometry to fractal g..."